ЛП
E915073
ЛП is the station code used to designate Ligovsky Prospekt, a station of the Saint Petersburg Metro in Russia.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ЛП canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11267011 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ЛП Context triple: [Ligovsky Prospekt metro station, hasStationCode, ЛП]
-
A.
l_P
l_P is the standard symbol denoting the Planck length, the fundamental quantum scale of length in theoretical physics.
-
B.
PLP
PLP is a political party known as the Parti de la Liberté et du Progrès, typically associated with liberal and progressive policies.
-
C.
PLP
PLP is the commonly used abbreviation for the Parliamentary Labour Party, the grouping of Labour Members of Parliament in the UK House of Commons.
-
D.
LPP
LPP is the IATA airport code for Lappeenranta Airport in Lappeenranta, Finland.
-
E.
LAP
LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ЛП Target entity description: ЛП is the station code used to designate Ligovsky Prospekt, a station of the Saint Petersburg Metro in Russia.
-
A.
l_P
l_P is the standard symbol denoting the Planck length, the fundamental quantum scale of length in theoretical physics.
-
B.
PLP
PLP is a political party known as the Parti de la Liberté et du Progrès, typically associated with liberal and progressive policies.
-
C.
PLP
PLP is the commonly used abbreviation for the Parliamentary Labour Party, the grouping of Labour Members of Parliament in the UK House of Commons.
-
D.
LPP
LPP is the IATA airport code for Lappeenranta Airport in Lappeenranta, Finland.
-
E.
LAP
LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
Saint Petersburg Metro station
ⓘ
metro station code ⓘ |
| appliesToCity | Saint Petersburg NERFINISHED ⓘ |
| appliesToCountry | Russia NERFINISHED ⓘ |
| appliesToStation | Ligovsky Prospekt NERFINISHED ⓘ |
| hasStationCode | ЛП ⓘ |
| language | Russian ⓘ |
| locatedIn |
St. Petersburg
ⓘ
surface form:
Saint Petersburg
|
| locatedInCountry | Russia NERFINISHED ⓘ |
| partOf | Saint Petersburg Metro NERFINISHED ⓘ |
| refersTo |
Ligovsky Prospekt
NERFINISHED
ⓘ
Лиговский проспект ⓘ |
| usedIn |
Saint Petersburg Metro
NERFINISHED
ⓘ
Санкт-Петербургский метрополитен NERFINISHED ⓘ |
| writingSystem | Cyrillic script ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: ЛП Description of subject: ЛП is the station code used to designate Ligovsky Prospekt, a station of the Saint Petersburg Metro in Russia.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.